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Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital

BACKGROUND: With the widespread use of antimicrobial drugs, bacterial resistance has become a significant problem, posing a serious threat to public health. The prevalence of clinical infection strains in hospitals and their drug sensitivities are key to the appropriate use of antibiotics in clinica...

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Autores principales: Li, Zong-Ying, Yang, Dong, Hao, Chong-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643083/
https://www.ncbi.nlm.nih.gov/pubmed/37969448
http://dx.doi.org/10.12998/wjcc.v11.i30.7294
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author Li, Zong-Ying
Yang, Dong
Hao, Chong-Hua
author_facet Li, Zong-Ying
Yang, Dong
Hao, Chong-Hua
author_sort Li, Zong-Ying
collection PubMed
description BACKGROUND: With the widespread use of antimicrobial drugs, bacterial resistance has become a significant problem, posing a serious threat to public health. The prevalence of clinical infection strains in hospitals and their drug sensitivities are key to the appropriate use of antibiotics in clinical practice. AIM: To identify prevalent bacteria and their antibiotic resistance profiles in a hospital setting, thereby guiding effective antibiotic usage by clinicians. METHODS: Specimens from across the institution were collected by the microbiology laboratory. The VITEK 2 compact fully automatic analyzer was used for bacterial identification and antibiotic sensitivity testing, and the WHONET5.6 software was utilized for statistical analysis. RESULTS: A total of 12062 bacterial strains of key monitoring significance were detected. Staphylococcus aureus demonstrated widespread resistance to penicillin, but none of the strains were resistant to vancomycin or linezolid. Moreover, 219 strains of methicillin-resistant coagulase-negative staphylococci and 110 strains of methicillin-resistant Staphylococcus aureus were detected. Enterococcus faecalis showed moderate resistance to the third-generation quinolones ciprofloxacin and levofloxacin, but its resistance to nitrofurantoin and tetracycline was low. Enterococcus faecium displayed significantly lower resistance to third- and fourth-generation quinolones than Enterococcus faecalis. The resistance of two key monitoring strains, Escherichia coli and Klebsiella pneumoniae, to piperacillin/tazobactam was 5%-8%. However, none of the Escherichia coli and Klebsiella pneumoniae strains were resistant to meropenem. The resistance of Acinetobacter baumannii to piperacillin/sulbactam was nearly 90%. Nonetheless, the resistance to tigecycline was low, and Pseudomonas aeruginosa demonstrated minimal resistance in the antibiotic sensitivity test, maintaining a resistance of < 10% to the cephalosporin antibiotics cefotetan and cefoperazone over the last 6 years. The resistance to amikacin remained at 0.2% over the past 3 years. CONCLUSION: Our hospital’s overall antibiotic resistance rate was relatively stable from 2017 to 2022. The detection rates of key monitoring strains are reported quarterly and their resistance dynamics are monitored and communicated to the entire hospital, which can guide clinical antibiotic selection.
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spelling pubmed-106430832023-11-15 Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital Li, Zong-Ying Yang, Dong Hao, Chong-Hua World J Clin Cases Retrospective Study BACKGROUND: With the widespread use of antimicrobial drugs, bacterial resistance has become a significant problem, posing a serious threat to public health. The prevalence of clinical infection strains in hospitals and their drug sensitivities are key to the appropriate use of antibiotics in clinical practice. AIM: To identify prevalent bacteria and their antibiotic resistance profiles in a hospital setting, thereby guiding effective antibiotic usage by clinicians. METHODS: Specimens from across the institution were collected by the microbiology laboratory. The VITEK 2 compact fully automatic analyzer was used for bacterial identification and antibiotic sensitivity testing, and the WHONET5.6 software was utilized for statistical analysis. RESULTS: A total of 12062 bacterial strains of key monitoring significance were detected. Staphylococcus aureus demonstrated widespread resistance to penicillin, but none of the strains were resistant to vancomycin or linezolid. Moreover, 219 strains of methicillin-resistant coagulase-negative staphylococci and 110 strains of methicillin-resistant Staphylococcus aureus were detected. Enterococcus faecalis showed moderate resistance to the third-generation quinolones ciprofloxacin and levofloxacin, but its resistance to nitrofurantoin and tetracycline was low. Enterococcus faecium displayed significantly lower resistance to third- and fourth-generation quinolones than Enterococcus faecalis. The resistance of two key monitoring strains, Escherichia coli and Klebsiella pneumoniae, to piperacillin/tazobactam was 5%-8%. However, none of the Escherichia coli and Klebsiella pneumoniae strains were resistant to meropenem. The resistance of Acinetobacter baumannii to piperacillin/sulbactam was nearly 90%. Nonetheless, the resistance to tigecycline was low, and Pseudomonas aeruginosa demonstrated minimal resistance in the antibiotic sensitivity test, maintaining a resistance of < 10% to the cephalosporin antibiotics cefotetan and cefoperazone over the last 6 years. The resistance to amikacin remained at 0.2% over the past 3 years. CONCLUSION: Our hospital’s overall antibiotic resistance rate was relatively stable from 2017 to 2022. The detection rates of key monitoring strains are reported quarterly and their resistance dynamics are monitored and communicated to the entire hospital, which can guide clinical antibiotic selection. Baishideng Publishing Group Inc 2023-10-26 2023-10-26 /pmc/articles/PMC10643083/ /pubmed/37969448 http://dx.doi.org/10.12998/wjcc.v11.i30.7294 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Retrospective Study
Li, Zong-Ying
Yang, Dong
Hao, Chong-Hua
Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital
title Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital
title_full Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital
title_fullStr Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital
title_full_unstemmed Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital
title_short Six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital
title_sort six-year analysis of key monitoring for bacterial strain distribution and antibiotic sensitivity in a hospital
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643083/
https://www.ncbi.nlm.nih.gov/pubmed/37969448
http://dx.doi.org/10.12998/wjcc.v11.i30.7294
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